Eulerian and Lagrangian approaches for predicting the behaviour of discrete particles in turbulent flows

Gouesbet, G.; Berlemont, Alain

doi:10.1016/s0360-1285(98)00018-5

Cited by 162 publications

(100 citation statements)

References 59 publications

Supporting

Mentioning

100

Contrasting

Order By: Relevance

“…In this instance, this coupling is achieved by calculating source terms in the flow's turbulent equations. A particle's movement is dictated by the turbulent flow of the continuous gas phase (Berlemont, Grancher, & Gouesbet, 1995;Gouesbet & Berlemont, 1999;Kolaitis & Founti, 2006), and thus within Equations (9) and (10) there are two source terms, S k and S , which are calculated in the simulation. Additionally, when modelling the disperse particles, the degree of coupling between the continuous and discrete phase is dictated by the Stokes number (St).…”

Section: Two-way Couplingmentioning

confidence: 99%

“…The fluid phase is treated as a continuum by solving the Navier-Stokes equations, while the dispersed phase is solved by tracking a large number of particles or droplets through the calculated flow field. The dispersed phase can exchange momentum, mass, and energy with the fluid phase (Gouesbet & Berlemont, 1999). To use the E-L approach, the secondary phase must be dilute enough.…”

Section: Multiphase Particle Flow With Lagrangian Approachmentioning

confidence: 99%

See 1 more Smart Citation

CFD simulations of polymer devolatilization in steam contactors

Gabor

Shindle

Chandy

2017

Engineering Applications of Computational Fluid Mechanics

View full text Add to dashboard Cite

Removal of volatiles and other unwanted products in a polymer mix is a critical step in polymer manufacturing. This process serves many purposes, such as improvement in the physical and chemical properties of the polymer, elimination of odours, recovery of monomers and solvents, and fulfilment of environmental regulations. In this study, the mixture of polymer and solvent, or cement, is mixed with superheated steam which causes the unwanted solvent to evaporate. As the cement droplets lose solvent and dry out, they are ejected as cement 'crumb' from the mixing device. This process is modelled using computational fluid dynamics (CFD) to gain insight into the complex phenomena. The model simulates the heat transfer and phase changes associated with cement and steam, via 3D axisymmetric calculations. Using an Eulerian-Lagrangian approach, the superheated steam is modelled as the continuous phase and tracked in an Eulerian frame, while the cement droplets are treated using a Lagrangian tracking method, thus as a whole allowing us to track the particle sizes, temperatures, and solvent content. Furthermore, a parametric study is carried out to analyse the effect of initial polymer temperature on final polymer product. The simulation is carried out with three different initial polymer temperatures and the resulting solvent concentration, and the size of the cement particles between the three cases are compared. By increasing the cement operating temperature, the solvent concentration in the cement crumb is significantly lower, and the final cement crumb sizes shows a slight decrease, which indicates better production performance. Indeed, full 3D CFD calculations, presented to verify the axisymmetric assumption, show differences in the particle statistics, which could have implications for design considerations. Such studies can provide further insights into control parameters that can potentially enhance the efficiency of such a manufacturing process. ARTICLE HISTORY

show abstract

Section: Two-way Couplingmentioning

confidence: 99%

Section: Multiphase Particle Flow With Lagrangian Approachmentioning

confidence: 99%

CFD simulations of polymer devolatilization in steam contactors

Gabor

Shindle

Chandy

2017

Engineering Applications of Computational Fluid Mechanics

View full text Add to dashboard Cite

show abstract

“…In general, most of these strategies have fallen into two basic formulation methods that are commonly used for coupling the dynamics of the liquid and the gaseous phase: the Euler-Lagrangian method and the Euler-Eulerian method. The Euler-Lagrangian [16] method has been used by many researchers and various improvements to the basic scheme have been proposed [17][18][19][20][21]. Over recent years the Discrete Droplet Model (DDM) within the Euler-Lagrangian framework has dominated in predicting the behaviour of the spray process.…”

Section: Introductionmentioning

confidence: 99%

Numerical modelling of diesel spray using the Eulerian multiphase approach

Vujanović

Petranović

Edelbauer

et al. 2015

Energy Conversion and Management

View full text Add to dashboard Cite

a b s t r a c tThis research investigates high pressure diesel fuel injection into the combustion chamber by performing computational simulations using the Euler-Eulerian multiphase approach. Six diesel-like conditions were simulated for which the liquid fuel jet was injected into a pressurised inert environment (100% N 2 ) through a 205 lm nozzle hole. The analysis was focused on the liquid jet and vapour penetration, describing spatial and temporal spray evolution. For this purpose, an Eulerian multiphase model was implemented, variations of the sub-model coefficients were performed, and their impact on the spray formation was investigated. The final set of sub-model coefficients was applied to all operating points. Several simulations of high pressure diesel injections (50, 80, and 120 MPa) combined with different chamber pressures (5.4 and 7.2 MPa) were carried out and results were compared to the experimental data. The predicted results share a similar spray cloud shape for all conditions with the different vapour and liquid penetration length. The liquid penetration is shortened with the increase in chamber pressure, whilst the vapour penetration is more pronounced by elevating the injection pressure. Finally, the results showed good agreement when compared to the measured data, and yielded the correct trends for both the liquid and vapour penetrations under different operating conditions.

show abstract

“…The major difference between Eulerian and Lagrangian models lies in the fact that the Eulerian method treats particles as a continuum through a continuous scalar field determined by writing and solving a particle transport equation (Gouesbet and Berlemont 1999), whereas the Lagrangian method considers two different phases: a fluid phase treated as a continuum by solving the time-averaged Navier-Stokes equations, and a discrete particle phase requiring the resolution of an equation of motion resulting from various forces acting on each individual particle to obtain a single particle trajectory (Zhao et al 2008). The Eulerian method has the advantage of being relatively straightforward because the mean particle concentration is calculated directly by solving an advection-diffusion conservation equation in a turbulent flow on the same grid, and because computational time is significantly reduced as there is no individual particle tracking required, in contrast with Lagrangian modeling approaches (Dupont et al 2006;Lai and Chen 2007a).…”

Section: Introductionmentioning

confidence: 99%

Toward Quantitative CFD Prediction of Contaminant Particle Deposition against Surfaces in Large Forced-Ventilation Food Plants

Chorel

Kondjoyan

Mirade

2010

Aerosol Science and Technology

View full text Add to dashboard Cite

This article discusses the application of a computational fluid dynamics (CFD) approach for constructing a numerical methodology based on Reynolds-Averaged Navier-Stokes (RANS) equations in order to accurately determine particle deposition rates against surfaces subjected to a low-velocity turbulent airflow. We began by studying a horizontal duct flow configuration and validating the numerical output for airflow pattern and particle deposition rate predictions against published numerical data. The main outcome of this first part of the study was that when starting from a one-way coupling Lagrangian formulation, accurate prediction of particle deposition rates strictly requires the construction of a sufficiently fine mesh (characterized by a dimensionless "distance to wall" criterion y + lower than 4) and the use of a turbulence model accounting for turbulence anisotropy in combination with a near-wall "two-layer zonal" boundary condition. The CFD methodology set up was then used to predict airflow patterns together with airborne deposition of spherical 1-50 µm particles against all the surfaces in an 87 m 3 ventilated cold room filled with 9 big rectangular parallelepipeds. The results demonstrated close agreement in air velocity predictions and showed particle deposition rates varying with both room wall surface type and orientation and with particle diameter due to the different physical phenomena involved. This paper is the first attempt to predict particle deposition in such a large volume, corresponding to a food-processing environment.

show abstract

Eulerian and Lagrangian approaches for predicting the behaviour of discrete particles in turbulent flows

Cited by 162 publications

References 59 publications

CFD simulations of polymer devolatilization in steam contactors

CFD simulations of polymer devolatilization in steam contactors

Numerical modelling of diesel spray using the Eulerian multiphase approach

Toward Quantitative CFD Prediction of Contaminant Particle Deposition against Surfaces in Large Forced-Ventilation Food Plants

Contact Info

Product

Resources

About